TorchSpatiotemporal / tsl
tsl: a PyTorch library for processing spatiotemporal data.
☆255Updated 2 weeks ago
Related projects: ⓘ
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆142Updated 2 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆159Updated 6 months ago
- Awesome Time-Series and Spatio-Temporal Related☆80Updated last year
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆551Updated last month
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆121Updated 7 months ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆325Updated 9 months ago
- Spatio-Temporal Prediction Paper List☆94Updated 2 weeks ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆42Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆99Updated 8 months ago
- ☆110Updated last year
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆168Updated 2 years ago
- ☆72Updated 10 months ago
- Graph Neural Networks for Irregular Time Series☆165Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆42Updated 11 months ago
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆498Updated 3 months ago
- Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)☆142Updated last year
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆72Updated last year
- Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.☆114Updated 3 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆262Updated 4 months ago
- Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…☆123Updated 7 months ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)☆158Updated 10 months ago
- a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…☆151Updated last week
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆214Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆66Updated last year
- Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete ti…☆168Updated 2 months ago
- PyTorch implementation of AirFormer, AAAI-23☆99Updated last year
- Modifications to Graph Wavenet☆94Updated 4 years ago
- A curated list of state-of-the-art papers on deep learning for universal representations of time series.☆118Updated last month
- Implementation of Graph Muti-Attention Network with PyTorch☆134Updated 10 months ago
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆90Updated 11 months ago